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Building a neural network to count the number of CpGs (consecutive CGs) in given DNA (of N, A, C, G, T) sequences.

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xsuryanshx/CpG_Detector

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CpG Detector Model

Neural network to count the number of CpGs (consecutive CGs) in given DNA (of N, A, C, G, T) sequences.

Link to deployed app : https://cpgdetector.streamlit.app/

Run locally -

Follow these steps to set up and run the service locally :

Prerequisites

  • Python 3.8 or higher
  • Git

Installation

  • Clone the repository :

https://github.com/xsuryanshx/CpG_Detector.git

  • Navigate to the project directory :

cd CpG_Detector

  • Create a virtual environment :

python -m venv .venv .\.venv\Scripts\activate

  • Install the required dependencies in the virtual environment :

pip install -r requirements.txt

  • Launch the app locally :

streamlit run streamlit_qa.py

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Building a neural network to count the number of CpGs (consecutive CGs) in given DNA (of N, A, C, G, T) sequences.

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